Hierarchical Clustering-Based Portfolio Allocation Strategies
Overview
Machine learning portfolio allocation strategies based on hierarchical clustering methods. The implemented methods are: Hierarchical risk parity (De Prado, 2016) <DOI: 10.3905/jpm.2016.42.4.059> and Hierarchical clustering-based asset allocation (Raffinot, 2017) <DOI: 10.3905/jpm.2018.44.2.089>.
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- 4
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- Exported functions with examples
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- Documented parameters
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People & History
- RR 4.2.0 released · 2022-04-22
- replacedReplaced by another packagereplaced by HierPortfolios
- archivedRemoved from CRAN2021-12-30the request of the maintainer
- 0.1.02021-11-08
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-11-08
- Total releases
- 1 / 5 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 1.0 MB / 2 files
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